Add dbn-legal-agent to deep-research and advocate pipelines

- interpretSeed: uses dbn-legal-agent for Norwegian/advocate queries
- expandQueries: uses dbn-legal-agent for Norwegian sub-question generation
- synthesise: adds dbn_legal engine option (dbn-legal-agent via LiteLLM GPU)
- advocate.php: adds Norwegian specialist radio button in engine selector

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

advocate.php

@@ -39,8 +39,9 @@ require_once __DIR__ . '/includes/layout.php';
                         <label><input type="radio" name="advEngine" value="azure_mini" checked> Azure gpt-4o-mini &#9733; <small class="control-hint">(~15-45s)</small></label>
                         <label><input type="radio" name="advEngine" value="azure_full"> Azure gpt-4o <small class="control-hint">(best · ~60-180s)</small></label>
                         <label><input type="radio" name="advEngine" value="gpu"> GPU (cuttlefish) <small class="control-hint">(local · ~30-90s)</small></label>
+                        <label><input type="radio" name="advEngine" value="dbn_legal"> &#x1F1F3;&#x1F1F4; Norwegian specialist <small class="control-hint">(dbn-legal-agent · ~40-90s)</small></label>
                     </div>
-                    <p class="upload-hint">Azure mini finishes fastest. Azure full produces the most thorough advocate brief. GPU keeps everything inside the BNL fleet.</p>
+                    <p class="upload-hint">Azure mini finishes fastest. Azure full produces the most thorough advocate brief. Norwegian specialist uses a fine-tuned Norwegian law model for the synthesis — best for Barneloven, barnevern, and ECHR family law cases.</p>
 
                     <div class="dr-slice-section">
                         <p class="control-label">Corpus slices</p>

includes/DeepResearchAgent.php

@@ -431,10 +431,18 @@ In {$locale}, produce JSON with:
 PROMPT;
 
         try {
-            $raw = $this->azure->chatText([
+            $sysMsg = ['role' => 'system', 'content' => 'You return valid JSON only. No markdown fences.'];
-                ['role' => 'system', 'content' => 'You return valid JSON only. No markdown fences.'],
+            $userMsg = ['role' => 'user', 'content' => $prompt];
-                ['role' => 'user',   'content' => $prompt],
+            if ($language === 'no' || $advocateRole !== '') {
-            ], ['json' => true, 'temperature' => 0.1, 'max_tokens' => 400, 'timeout' => 30]);
+                $resp = dbnToolsCallGpuLlm([$sysMsg, $userMsg], [
+                    'model' => 'dbn-legal-agent', 'json' => true,
+                    'temperature' => 0.1, 'max_tokens' => 400, 'timeout' => 40,
+                ]);
+                $raw = (string)($resp['choices'][0]['message']['content'] ?? '');
+            } else {
+                $raw = $this->azure->chatText([$sysMsg, $userMsg],
+                    ['json' => true, 'temperature' => 0.1, 'max_tokens' => 400, 'timeout' => 30]);
+            }
             $json = $this->azure->decodeJsonObject($raw);
             if (is_array($json) && !empty($json['brief'])) {
                 $signals = $json['key_signals'] ?? [];
@@ -514,10 +522,18 @@ PROMPT;
         }
 
         try {
-            $raw = $this->azure->chatText([
+            $sysMsg = ['role' => 'system', 'content' => 'You return valid JSON only. No markdown fences.'];
-                ['role' => 'system', 'content' => 'You return valid JSON only. No markdown fences.'],
+            $userMsg = ['role' => 'user', 'content' => $prompt];
-                ['role' => 'user',   'content' => $prompt],
+            if ($language === 'no') {
-            ], ['json' => true, 'temperature' => 0.2, 'max_tokens' => 700, 'timeout' => 35]);
+                $resp = dbnToolsCallGpuLlm([$sysMsg, $userMsg], [
+                    'model' => 'dbn-legal-agent', 'json' => true,
+                    'temperature' => 0.2, 'max_tokens' => 700, 'timeout' => 50,
+                ]);
+                $raw = (string)($resp['choices'][0]['message']['content'] ?? '');
+            } else {
+                $raw = $this->azure->chatText([$sysMsg, $userMsg],
+                    ['json' => true, 'temperature' => 0.2, 'max_tokens' => 700, 'timeout' => 35]);
+            }
             $json = $this->azure->decodeJsonObject($raw);
             $items = is_array($json['sub_questions'] ?? null) ? $json['sub_questions'] : [];
             $normalized = [];
@@ -866,7 +882,12 @@ PROMPT;
                     'what_remains_uncertain' => ['No corpus evidence retrieved for the given query and slice selection.'],
                     'next_practical_step' => 'Try widening slice selection or rephrasing with more specific statutory or party terms.',
                 ],
-                'deploy_label' => $engine === 'gpu' ? 'GPU (cuttlefish)' : ($engine === 'azure_full' ? 'gpt-4o' : $this->azure->chatDeployment()),
+                'deploy_label' => match($engine) {
+                    'gpu'       => 'GPU (cuttlefish)',
+                    'dbn_legal' => 'dbn-legal-agent',
+                    'azure_full'=> 'gpt-4o',
+                    default     => $this->azure->chatDeployment(),
+                },
             ];
         }
 
@@ -976,7 +997,11 @@ PROMPT;
         $opts = ['json' => true, 'temperature' => $temperature, 'max_tokens' => 3200, 'timeout' => 180];
 
         try {
-            if ($engine === 'gpu') {
+            if ($engine === 'dbn_legal') {
+                $response = dbnToolsCallGpuLlm($messages, array_merge($opts, ['model' => 'dbn-legal-agent', 'timeout' => 180]));
+                $deployLabel = 'dbn-legal-agent';
+                $raw = (string)($response['choices'][0]['message']['content'] ?? '');
+            } elseif ($engine === 'gpu') {
                 $response = dbnToolsCallGpuLlm($messages, $opts);
                 $deployLabel = 'GPU (cuttlefish)';
                 $raw = (string)($response['choices'][0]['message']['content'] ?? '');